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IOT System for Self-diagnosis of Heart Diseases Using Mathematical Evaluation of Cardiac Dynamics Based on Probability Theory

  • Juan Piedrahita-Gonzalez
  • Juan Cubillos-Calvachi
  • Carlos Gutiérrez-Ardila
  • Carlos Montenegro-Marin
  • Paulo Gaona-García
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 111)

Abstract

Cardiovascular diseases are one of the most frequent worldwide death causes, this owing to a late detection of that illnesses, however, the majority of people do not carry out proper cardiovascular health check-ups due to a lack of time or resources. For that reason, we propose an IoT services oriented system which throughout patient’s mobile device and heart rate monitor, using an analysis methodology based on the probability theory, allows the patient to take preventive check-ups in his own anytime, and lets him know when it is necessary to consult medical services, all of that supported in a proved and reliable diagnosis. Finally, we show a system implementation test, the results and the future work derived from this research.

Keywords

Data analysis Cardiovascular health Heart Self-diagnosis Internet of things Probability theory 

Notes

Acknowledgments

The authors gratefully acknowledge the support for this project to the GIIRA Research Group at the Universidad Distrital Francisco José de Caldas, Engineering Faculty.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Juan Piedrahita-Gonzalez
    • 1
  • Juan Cubillos-Calvachi
    • 1
  • Carlos Gutiérrez-Ardila
    • 1
  • Carlos Montenegro-Marin
    • 1
  • Paulo Gaona-García
    • 1
  1. 1.Engineering FacultyUniversidad Distrital Francisco José de CaldasBogotá D.C.Colombia

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